P
US7318006B2ExpiredUtilityPatentIndex 80

Alarm analysis methods and systems capable of multi-purpose function

Assignee: IND TECH RES INSTPriority: Dec 30, 2004Filed: Dec 28, 2005Granted: Jan 8, 2008
Est. expiryDec 30, 2024(expired)· nominal 20-yr term from priority
Inventors:YOU HUEI-SHYANGCHANG YI-CHUN
G05B 23/027G06Q 30/02
80
PatentIndex Score
9
Cited by
1
References
36
Claims

Abstract

An alarm analysis method capable of multi-purpose function. A plurality of efficiency indices are defined, including statistical-data-configuration, data-set, background-alarm-rate, peak-alarm-rate, active-alarm-distribution, bad-actors-identification, and alarm-report indices. A data warehouse is created according to the efficiency indices and using an online analytical processing method. A plurality of user interfaces are created according to the data warehouse and analysis results. The data warehouse is accessed using the user interfaces to retrieve the analysis results.

Claims

exact text as granted — not AI-modified
1. An alarm analysis method capable of multi-purpose function, comprising the steps of:
 defining a plurality of efficiency indices, including statistical-data-configuration, data-set, background-alarm-rate, peak-alarm-rate, active-alarm-distribution, bad-actors-identification, and alarm-report indices; 
 creating a data warehouse according to the efficiency indices and using an online analytical processing method; 
 creating a plurality of user interfaces according to the data warehouse and analysis results; and 
 accessing the data warehouse using the user interfaces to retrieve the analysis results, 
 wherein the step of creating a data warehouse further comprises the steps of: 
 collecting alarm data; 
 creating required dimensions for data cubes relating to the alarm data; 
 creating required hierarchies for the data cubes relating to the alarm data; 
 selecting storage formats relating to the alarm data; 
 determining pre-calculation scales relating to the alarm data; and 
 implementing a pre-processing operation to the alarm data. 
 
   
   
     2. The alarm analysis method as claimed in  claim 1 , wherein the data cubes are multidimensional data cubes. 
   
   
     3. The alarm analysis method as claimed in  claim 2 , wherein the data cubes have dimensional and measurement parts. 
   
   
     4. The alarm analysis method as claimed in  claim 3 , wherein the dimensional part of the data cube has time, system, and area parts. 
   
   
     5. The alarm analysis method as claimed in  claim 4 , wherein the data cubes have member, hierarchy, and level attributes. 
   
   
     6. The alarm analysis method as claimed in  claim 5 , wherein required alarm data is queried according to the dimensional and measurement parts and attributes of the data cubes. 
   
   
     7. The alarm analysis method as claimed in  claim 1 , wherein the background-alarm-rate index further comprises all-alarms and enabled-alarms-only indices. 
   
   
     8. The alarm analysis method as claimed in  claim 1 , wherein the active-alarm-distribution index further comprises alarms-activated and unit/display-unit-alarm-distribution indices. 
   
   
     9. The alarm analysis method as claimed in  claim 1 , wherein each user interface provides a drill-down function. 
   
   
     10. The alarm analysis method as claimed in  claim 9 , wherein low dimensional alarm data relating to the data cubes is retrieved using the drill-down function. 
   
   
     11. The alarm analysis method as claimed in  claim 1 , wherein an alarm data server is accessed using the user interfaces to browse analysis results of alarm data and implement a corresponding process, comprising the steps of:
 selecting a desired alarm data module; 
 displaying analysis results relating to alarm data; 
 when a report module is selected, selecting queried combination of dimensions and hierarchies relating to alarm data; 
 implementing a drill-down operation to the combination of dimensions and hierarchies; and 
 displaying analysis results relating to alarm data when an auxiliary analysis diagram module is selected. 
 
   
   
     12. The alarm analysis method as claimed in  claim 1 , wherein the online analytical processing method is a multidimensional online analytical processing method (MOLAP) method, relational online analytical processing method (ROLAP) method, or hybrid online analytical processing method (HOLAP) method. 
   
   
     13. An alarm analysis system capable of multi-purpose function, comprising:
 a server which provides a data warehouse and a user login interface; and 
 a client, coupled to the server, which accesses the data warehouse and uses the user interface to retrieve analysis results relating to alarm data, 
 wherein a data warehouse is created according to a plurality of efficiency indices using an online analytical processing method, the efficiency indices including statistical-data-configuration, data-set, background-alarm-rate, peak-alarm-rate, active-alarm-distribution, bad-actors-identification, and alarm-report indices, and being created with the steps of collecting alarm data, creating required dimensions for data cubes relating to the alarm data, creating required hierarchies for the data cubes relating to the alarm data, selecting storage formats relating to the alarm data, determining pre-calculation scales relating to the alarm data, and implementing a pre-processing operation to the alarm data. 
 
   
   
     14. The alarm analysis system as claimed in  claim 13 , wherein the data cubes are multidimensional data cubes. 
   
   
     15. The alarm analysis system as claimed in  claim 14 , wherein the data cubes have dimensional and measurement parts. 
   
   
     16. The alarm analysis system as claimed in  claim 15 , wherein the dimensional part of the data cubes have time, system, and area parts. 
   
   
     17. The alarm analysis system as claimed in  claim 16 , wherein the data cubes comprise member, hierarchy, and level attributes. 
   
   
     18. The alarm analysis system as claimed in  claim 17 , wherein required alarm data is queried according to the dimensional and measurement parts and attributes of the data cubes. 
   
   
     19. The alarm analysis system as claimed in  claim 13 , wherein the background-alarm-rate index further comprises all-alarms and enabled-alarms-only indices. 
   
   
     20. The alarm analysis system as claimed in  claim 13 , wherein the active-alarm-distribution index further comprises alarms-activated and unit/display-unit-alarm-distribution indices. 
   
   
     21. The alarm analysis system as claimed in  claim 13 , wherein each user interface provides a drill-down function. 
   
   
     22. The alarm analysis system as claimed in  claim 21 , wherein low dimensional alarm data relating to the data cubes is retrieved using the drill-down function. 
   
   
     23. The alarm analysis system as claimed in  claim 13 , wherein the client accesses alarm data on the server, using the user interface to browse analysis results of alarm data, and implements a corresponding process, comprising:
 selecting a desired alarm data module; 
 displaying analysis results relating to alarm data; 
 selecting queried combination of dimensions and hierarchies relating to alarm data; 
 implementing a drill-down operation to the combination of dimensions and hierarchies; and 
 displaying analysis results relating to alarm data, when an auxiliary analysis diagram module is selected. 
 
   
   
     24. The alarm analysis system as claimed in  claim 13 , wherein the online analytical processing method is an MOLAP method, ROLAP method, or HOLAP method. 
   
   
     25. A computer-readable storage medium storing a computer program which provides an alarm analysis method capable of multi-purpose function, comprising using a computer to perform the steps of:
 defining a plurality of efficiency indices, including statistical-data-configuration, data-set, background-alarm-rate, peak-alarm-rate, active-alarm-distribution, bad-actors-identification, and alarm-report indices; 
 creating a data warehouse according to the efficiency indices and using an online analytical processing method; 
 creating a plurality of user interfaces according to the data warehouse and analysis results; and 
 accessing the data warehouse using the user interfaces to retrieve the analysis results, 
 wherein the step of creating a data warehouse further comprises; 
 collecting alarm data; 
 creating required dimensions for data cubes relating to the alarm data; 
 creating required hierarchies for the data cubes relating to the alarm data; 
 selecting storage formats relating to the alarm data; 
 determining pre-calculation scales relating to the alarm data; and 
 implementing a pre-processing operation to the alarm data. 
 
   
   
     26. The computer-readable storage medium as claimed in  claim 25 , wherein cubes are multidimensional data cubes. 
   
   
     27. The computer-readable storage medium as claimed in  claim 26 , wherein the data cubes have dimensional and measurement parts. 
   
   
     28. The computer-readable storage medium as claimed in  claim 27 , wherein the dimensional part of the data cubes have time, system, and area parts. 
   
   
     29. The computer-readable storage medium as claimed in  claim 28 , wherein the data cubes have member, hierarchy, and level attributes. 
   
   
     30. The computer-readable storage medium as claimed in  claim 29 , wherein the required alarm data is queried according to the dimensional and measurement parts and attributes of the data cubes. 
   
   
     31. The computer-readable storage medium as claimed in  claim 25 , wherein the background-alarm-rate index further comprises all-alarms and enabled-alarms-only indices. 
   
   
     32. The computer-readable storage medium as claimed in  claim 25 , wherein the active-alarm-distribution index further comprises alarms-activated and unit/display-unit-alarm-distribution indices. 
   
   
     33. The computer-readable storage medium as claimed in  claim 25 , wherein each user interface provides a drill-down function. 
   
   
     34. The computer-readable storage medium as claimed in  claim 33 , wherein low dimensional alarm data relating to the data cube is retrieved using the drill-down function. 
   
   
     35. The computer-readable storage medium as claimed in  claim 25 , wherein an alarm data server is accessed, using the user interface to browse analysis results of alarm data and implement a corresponding process, comprising:
 selecting a desired alarm data module; 
 displaying analysis results relating to alarm data; 
 selecting queried combination of dimensions and hierarchies relating to alarm data; 
 implementing a drill-down operation to the combination of dimensions and hierarchies; and 
 displaying analysis results relating to alarm data, when an auxiliary analysis diagram module is selected. 
 
   
   
     36. The computer-readable storage medium as claimed in  claim 25 , wherein the online analytical processing method is an MOLAP method, ROLAP method, or HOLAP method.

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